Results 21 to 30 of about 191,482 (312)
Comparison of algorithms for the analysis of Affymetrix microarray data as evaluated by co-expression of genes in known operons [PDF]
Nucleic Acids Research, 2006 Oligonucleotide microarrays are an informative tool to elucidate gene regulatory networks. In order for gene expression levels to be comparable across microarrays, normalization procedures have to be invoked. A large number of methods have been described to correct for systematic biases in microarray experiments.
Harr, Bettina, Schlötterer, Christian
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Gene selection algorithms for microarray data based on least squares support vector machine
BMC Bioinformatics, 2006 Background In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary to conduct the discriminant analysis with all the genes.
Suganthan PN, Tang E Ke, Yao Xin
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BMC Bioinformatics, 2022 Background As many complex omics data have been generated during the last two decades, dimensionality reduction problem has been a challenging issue in better mining such data. The omics data typically consists of many features. Accordingly, many feature
Tapas Bhadra +3 more
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Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects [PDF]
, 2009 Finite mixture models are routinely applied to time course microarray data. Due to the complexity and size of this type of data the choice of good starting values plays an important role.
Leisch, Friedrich +2 more
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A Key Protein Recognition Algorithm Based on High-order Complex Protein Network [PDF]
International Journal Bioautomation, 2022 Although the existing protein recognition methods have improved the recognition accuracy of key proteins to a certain extent, they have ignored the biological features of the proteins.
Xiaojing Wang
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TGMI: an efficient algorithm for identifying pathway regulators through evaluation of triple-gene mutual interaction [PDF]
Nucleic Acids Research, 2018 Despite their important roles, the regulators for most metabolic pathways and biological processes remain elusive. Presently, the methods for identifying metabolic pathway and biological process regulators are intensively sought after. We developed a novel algorithm called triple-gene mutual interaction (TGMI) for identifying these regulators using ...
Chathura Gunasekara +4 more
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Temporal clustering by affinity propagation reveals transcriptional modules in Arabidopsis thaliana [PDF]
, 2009 Motivation: Identifying regulatory modules is an important task in the exploratory analysis of gene expression time series data. Clustering algorithms are often used for this purpose.
Buchanan-Wollaston, Vicky +11 more
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Scientific Reports, 2022 Breast adenocarcinoma is the most common of all cancers that occur in women. According to the United States of America survey, more than 282,000 breast cancer patients are registered each year; most of them are women.
Asghar Ali Shah +4 more
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Fuzzy C means Based Evaluation Algorithms For Cancer Gene Expression Data Clustering
Iraqi Journal for Computer Science and Mathematics, 2022 The influx of data in bioinformatics is primarily in the form of DNA, RNA, and protein sequences. This condition places a significant burden on scientists and computers. Some genomics studies depend on clustering techniques to group similarly expressed genes into one cluster.
Omar Al-Janabee, Basad Al-Sarray
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Author Impact: Evaluations, Predictions, and Challenges
IEEE Access, 2019 Author impact evaluation and prediction play a key role in determining rewards, funding, and promotion. In this paper, we first introduce the background of the author impact evaluation and prediction. Then, we review the recent developments of the author
Fuli Zhang, Xiaomei Bai, Ivan Lee
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